Simple-Question Answering based on Knowledge Graph Embeddings (part of my Ph.D. work)
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Updated
Jun 17, 2024 - Python
Simple-Question Answering based on Knowledge Graph Embeddings (part of my Ph.D. work)
Source code for experiments in the papers "Beyond Benchmarks: Assessing Knowledge Graph Completion Methods on Non-Benchmark Employee Data" (IEEE 2024, yet to be published)
Combining Query Rewriting (PerfectRef) and Knowledge Graph Embeddings with Complex Query Answering
Machine Learning (ML) algorithms need data in the form of feature vectors and class labels to come up with a trained model and predict new instances with that trained model. Data stored in Knowledge Graph(s) (KG) is in the form of triples. To apply ML algorithms on KG, we need to convert the individuals in the learning problem into feature vecto…
Question-Answering (QA) System that leverages the power of Knowledge Graphs and Language Models
基于 OpenKE-PyTorch 开发的知识图谱嵌入工具包,支持跨平台运行,具备自动超参数搜索、高效并行训练以及实验结果记录功能,为研究与应用提供强大助力。
Bi2E: Bidirectional Knowledge Graph Embeddings Based on Subject-Object Feature Spaces
Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)
A placeholder for my work in word embeddings and knowledge graph representations
🌐 The website for PyKEEN and the KEEN universe at https://pykeen.github.io
Train and learn JOIE, TransO and ReasonKGE embedding models on DBpedia and YAGO datasets
🪑 Benchmark the bloom filterer at https://pykeen.github.io/bloom-filterer-benchmark/
Experiments for comparing Knowledge Graph Embeddings (KGEs) on the Wikidata5M dataset based on different Quality Metrics
OpenKE-based implementation of KG embedding model JOIE (Jointly Embedding Instances and Ontological Concepts)
Experimental setup and results for 2021-2022 academic research "Effects of knowledge graph structural properties on their predictive performance".
I read some papers about Knowledge Graph applied in Recommender System, and write the summary of these papers.
Code for generating Linked Papers with Code a high-quality RDF knowledge graph with metadata about the machine learning landscape.
Project on the use of Knowledge Graph Embeddings for use for a classification problem for Capstone Project submitted for the MSc of Data Analytics
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